Leading From The Periphery And Network Collective Action
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Leading from the Periphery and Network Collective Action
Author: Navid Hassanpour
language: en
Publisher: Cambridge University Press
Release Date: 2016
An analysis of the overlooked role of the peripheral vanguard in the context of a network theory of collective action.
Network Collective Action
Collective action asks a fundamental question in social science: How do sets of actors choose courses of action and work together to achieve desired outcomes, often in opposition to other coalitions? Psychological and economic rationality explanations are incomplete in emphasizing the mental decision processes of individuals. Collective action must be understood at the level analysis of interpersonal and interorganizational relations. Social network theories and methods provide optimal frameworks for explaining collective action in a variety of settings. This book reviews theories and empirical research on collective action in several substantive areas, demonstrates how agent-based models can analyze collective action networks (pandemics, riots, social movements, insurrections, insurgencies), and concludes with speculations about future research directions.
Network Analysis
Author: Craig M. Rawlings
language: en
Publisher: Cambridge University Press
Release Date: 2023-10-05
The size and availability of network information has exploded over the last decade. Social scientists now share the stage of network analysis with computer scientists, physicists, and statisticians. While a number of introductions to network analysis are now available, most focus on theory, methods, or application alone. This book integrates all three. Network Analysis is an introduction to both the why and how of Social Network Analysis (SNA). It presents a broad theoretical overview rooted in social scientific approaches and guides users in how network analysis can answer core theoretical questions. It provides a comprehensive overview of descriptive and analytical approaches, including practical tutorials in R with sample data sets. Using an integrated approach, this book aims to quickly bring novice network researchers up to speed while avoiding common programming and analysis mistakes so that they might gain insight into the fundamental theories, key concepts, and methodological application of SNA.